The Gendered Code: Exploring Feminist Art through Artificial Intelligence

HRMARS - This paper provides a brief overview of the integration of artificial intelligence (AI) into feminist art practices, focusing on how AI technology critiques mainstream cultural narratives and reimagines gender representation. The study is based on a systematic review of peer-reviewed English-language literature from the Scopus and Google Scholar databases, identifying four core themes: technological application, cultural significance, ethical considerations, and creative transformation. Feminist artists utilize machine learning and generative algorithms to question authorship, identity, and systemic biases. While AI has opened new aesthetic possibilities and platforms for marginalized voices, it faces numerous challenges, including algorithmic bias, limited access to technology, and insufficient intersectional representation in datasets. Ongoing debates surrounding authorship, emotional authenticity, and data ethics further complicate the field. Despite growing academic attention since 2020, feminist-centered AI design and equitable collaboration models remain significantly lacking. This review concludes that AI holds significant transformative potential for feminist art, and future efforts should prioritize inclusivity, ethical design, decolonized data, and interdisciplinary collaboration.